Jiang He, Lan Guanghua, Zhu Qiuying, Liang Shujia, Li Jianjun, Feng Yi, Lin Mei, Xing Hui, Shao Yiming
Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Prevention and Control, Nanning, China.
State of Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Open Forum Infect Dis. 2022 Jan 25;9(3):ofac042. doi: 10.1093/ofid/ofac042. eCollection 2022 Mar.
We sought to identify students and their sexual partners in a molecular transmission network.
We obtained 5996 HIV protease and reverse transcriptase gene sequences in Guangxi (165 from students and 5831 from the general populations) and the relevant demographic data. We constructed a molecular transmission network and introduced a permutation test to assess the robust genetic linkages. We calculated the centrality measures to describe the transmission patterns in clusters.
At the network level, 68 (41.2%) students fell within the network across 43 (8.1%) clusters. Of 141 genetic linkages between students and their partners, only 25 (17.7%) occurred within students. Students were more likely than random permutations to link to other students (odds ratio [OR], 7.2; < .001), private company employees aged 16-24 years (OR, 3.3; = .01), private company or government employees aged 25-49 years (OR, 1.7; = .03), and freelancers or unemployed individuals aged 16-24 years (OR, 5.0; < .001). At the cluster level, the median age of nonstudents directly linked to students (interquartile range) was 25 (22-30) years, and 80.3% of them had a high school or higher education background. Compared with students, they showed a significantly higher median degree (4.0 vs 2.0; < .001) but an equivalent median Eigenvector Centrality (0.83 vs 0.81; = .60).
The tendency of genetic linkage between students and nonstudent young men and their important position in the HIV transmission network emphasizes the urgent need for 2-pronged public health interventions based on both school and society.
我们试图在分子传播网络中识别学生及其性伴侣。
我们获取了广西5996条HIV蛋白酶和逆转录酶基因序列（165条来自学生，5831条来自普通人群）以及相关人口统计学数据。我们构建了一个分子传播网络，并引入排列检验来评估稳健的基因联系。我们计算中心性度量以描述集群中的传播模式。
在网络层面，68名（41.2%）学生分布在43个（8.1%）集群的网络中。在学生与其伴侣之间的141个基因联系中，只有25个（17.7%）发生在学生内部。与随机排列相比，学生更有可能与其他学生建立联系（优势比[OR]，7.2；P<0.001）、16 - 24岁的私营企业员工（OR，3.3；P = 0.01）、25 - 49岁的私营企业或政府员工（OR，1.7；P = 0.03）以及16 - 24岁的自由职业者或失业个体（OR，5.0；P<0.001）。在集群层面，与学生直接相连的非学生的年龄中位数（四分位间距）为25（22 - 30）岁，其中80.3%具有高中或更高学历背景。与学生相比，他们的度中位数显著更高（4.0对2.0；P<0.001），但特征向量中心性中位数相当（0.83对0.81；P = 0.60）。
学生与非学生青年男性之间的基因联系趋势及其在HIV传播网络中的重要地位强调了基于学校和社会的双管齐下的公共卫生干预措施的迫切需求。
